{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}\\micro.intra\Projekt\P0624$\P0624_Gem\Kitschelt\submission\figures_main_pop.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Jan 2024, 06:23:04
{txt}
{com}. cd  "\\micro.intra\Projekt\P0624$\P0624_Gem\Kitschelt\submission"
{res}\\micro.intra\Projekt\P0624$\P0624_Gem\Kitschelt\submission
{txt}
{com}. use main_data_pop, replace
{txt}
{com}. 
. ***Figure 3
. preserve
{txt}
{com}. gen ssyk96 =substr(ssyk96kod, 1, 3)
{txt}
{com}. gen occup_gr="Social Worker" if Ssyk4=="2492"   & sector<0
{txt}(13,220,838 missing values generated)

{com}. replace  occup_gr="Nurse" if (ssyk96=="223" | ssyk96=="323"     )               & sector<0                              
{txt}(285,782 real changes made)

{com}. replace  occup_gr="Police" if Ssyk4=="3450"     & sector<0
{txt}(56,416 real changes made)

{com}. replace occup_gr="CEO" if  ssyk96=="121"& sector==1
{txt}(78,209 real changes made)

{com}. replace  occup_gr="Machine Operator" if ssyk96=="821" | ssyk96=="822" | ssyk96=="823" | ssyk96=="824" | ssyk96=="825" | ssyk96=="826" | ssyk96=="827" 
{txt}variable {bf}{res}occup_gr{sf}{txt} was {bf}{res}str13{sf}{txt} now {bf}{res}str16{sf}
{txt}(413,508 real changes made)

{com}. replace  occup_gr="Farmer" if (ssyk96=="621" | ssyk96=="622"    | ssyk96=="623" | ssyk96=="624")
{txt}(0 real changes made)

{com}. replace  occup_gr="Indep. Craftsman" if (ssyk96=="712" | ssyk96=="713"  | ssyk96=="714" ) & cap_exec>.5
{txt}(95,302 real changes made)

{com}. replace  occup_gr="Vehicle Driver" if (ssyk96=="832") 
{txt}(355,178 real changes made)

{com}. keep if occup_gr!=""
{txt}(11,936,443 observations deleted)

{com}. keep if  y!=. & x!=.
{txt}(0 observations deleted)

{com}. collapse y  x, by(occup_gr)
{res}{txt}
{com}. save mean_y_x_occ, replace
{txt}{p 0 4 2}
file {bf}
mean_y_x_occ.dta{rm}
saved
{p_end}

{com}. restore
{txt}
{com}. preserve
{txt}
{com}. gen count=1
{txt}
{com}. keep if  y!=. & x!=.
{txt}(0 observations deleted)

{com}. foreach var in x  y {c -(}
{txt}  2{com}.         gen gr_`var'_50=(int(25*                                (`var'+0.0000001))-0.5)/25 if `var'<0
{txt}  3{com}.         replace gr_`var'_50=(int(25*(`var'-0.0000001))+0.5)/25  if `var'>=0
{txt}  4{com}. {c )-}
{txt}(7,075,293 missing values generated)
(7,075,293 real changes made)
(6,470,254 missing values generated)
(6,470,254 real changes made)

{com}. collapse(sum) count, by(gr_y_50 gr_x_50)
{res}{txt}
{com}. egen pop_count=sum(count)
{txt}
{com}. gen share= count/pop_count
{txt}
{com}. append using mean_y_x_occ
{txt}
{com}. 
. twoway (scatter gr_y gr_x [fweight = share]  , mcolor(gs12)  mlwidth(thin) msymbol(circle) mfcolor(none) msize(small)) ///
>         (scatter y x if occup_gr!="",  msize(medium) mlabel(occup_gr) mlabsize(medium) msymbol(circle) mlabposition(3) mcolor(black) mlabcolor(black)) ///
>         , scheme(s1color) xline(0) yline(0) title(Population) ytitle(Libertarian - Authoritarian) xtitle(Left-Right) legend(off) ysize(5) xsize(5.5)
{res}{txt}
{com}. graph save Figure_3, replace
{res}{txt}file {bf:Figure_3.gph} saved

{com}. restore 
{txt}
{com}. 
. ***Prepare for PCA-analyses
. gen sex=1 if Kon==2
{txt}(6,810,009 missing values generated)

{com}. replace sex=-1 if Kon==1
{txt}(6,810,009 real changes made)

{com}. global lablist education  sex    ConcOther AssCareOther NegConSolv ServOriCare SocPercep ///
>         ConMacProc_ DocRecInfo_ HandMoveObj_ InterComp_ AdminAct_ ///
>         stdoffshore_pct  /// 
>         PrivSec-NonProfit inc_pct  busink OpFtgLedare BusPers 
{txt}
{com}. pca $lablist

{txt}Principal components/correlation{col 50}Number of obs    = {res}12,757,903
{col 50}{txt}Number of comp.  = {res}        21
{col 50}{txt}Trace            {col 67}=  {res}       21
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    1.0000

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      5.92004      1.84443             0.2819       0.2819
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      4.07562      1.88003             0.1941       0.4760
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      2.19558      .962842             0.1046       0.5805
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.23274      .126845             0.0587       0.6392
{txt}{col 5}{ralign 12:Comp5} {c |}{res}       1.1059     .0139446             0.0527       0.6919
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      1.09195      .142298             0.0520       0.7439
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .949653     .0588804             0.0452       0.7891
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .890773      .205866             0.0424       0.8315
{txt}{col 5}{ralign 12:Comp9} {c |}{res}      .684907     .0296098             0.0326       0.8642
{txt}{col 5}{ralign 12:Comp10} {c |}{res}      .655297      .113214             0.0312       0.8954
{txt}{col 5}{ralign 12:Comp11} {c |}{res}      .542083      .151266             0.0258       0.9212
{txt}{col 5}{ralign 12:Comp12} {c |}{res}      .390817       .03604             0.0186       0.9398
{txt}{col 5}{ralign 12:Comp13} {c |}{res}      .354777     .0685493             0.0169       0.9567
{txt}{col 5}{ralign 12:Comp14} {c |}{res}      .286228     .0565023             0.0136       0.9703
{txt}{col 5}{ralign 12:Comp15} {c |}{res}      .229726     .0879389             0.0109       0.9812
{txt}{col 5}{ralign 12:Comp16} {c |}{res}      .141787     .0393582             0.0068       0.9880
{txt}{col 5}{ralign 12:Comp17} {c |}{res}      .102429     .0441279             0.0049       0.9929
{txt}{col 5}{ralign 12:Comp18} {c |}{res}     .0583006    .00756551             0.0028       0.9956
{txt}{col 5}{ralign 12:Comp19} {c |}{res}     .0507351     .0121025             0.0024       0.9981
{txt}{col 5}{ralign 12:Comp20} {c |}{res}     .0386326     .0366039             0.0018       0.9999
{txt}{col 5}{ralign 12:Comp21} {c |}{res}    .00202868            .             0.0001       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{space 1}{ralign 8:Comp2}{space 1}{space 1}{ralign 8:Comp3}{space 1}{space 1}{ralign 8:Comp4}{space 1}{space 1}{ralign 8:Comp5}{space 1}{space 1}{ralign 8:Comp6}{space 1}{space 1}{ralign 8:Comp7}{space 1}{space 1}{ralign 8:Comp8}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:education}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2032}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1506}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0445}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0818}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1392}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2266}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1729}}}{space 1}
{space 4}{space 0}{ralign 12:sex}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2014}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1282}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0752}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0547}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0900}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.4906}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2344}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1247}}}{space 1}
{space 4}{space 0}{ralign 12:ConcOther}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2997}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2616}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0356}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0397}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0191}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2035}}}{space 1}
{space 4}{space 0}{ralign 12:AssCareOther}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2382}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3480}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0599}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0338}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1044}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0311}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2846}}}{space 1}
{space 4}{space 0}{ralign 12:NegConSolv}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2868}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1622}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1494}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2216}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2487}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0779}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0459}}}{space 1}
{space 4}{space 0}{ralign 12:ServOriCare}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3520}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1102}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1542}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1493}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0179}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1257}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1012}}}{space 1}
{space 4}{space 0}{ralign 12:SocPercep}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3665}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0409}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1302}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1499}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1330}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1463}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0261}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0613}}}{space 1}
{space 4}{space 0}{ralign 12:ConMacProc_}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3177}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1331}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0377}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2159}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0628}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1773}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3497}}}{space 1}
{space 4}{space 0}{ralign 12:DocRecInfo_}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2702}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1317}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0670}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1035}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3387}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0713}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1219}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4892}}}{space 1}
{space 4}{space 0}{ralign 12:HandMoveObj_}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2311}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3539}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1242}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0545}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1039}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2738}}}{space 1}
{space 4}{space 0}{ralign 12:InterComp_}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1564}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4191}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0754}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0513}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1176}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1196}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0271}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1284}}}{space 1}
{space 4}{space 0}{ralign 12:AdminAct_}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2093}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3099}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0088}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0558}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0901}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2127}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0529}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2642}}}{space 1}
{space 4}{space 0}{ralign 12:stdoffshor~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0549}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3748}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1768}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1454}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1678}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1926}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0370}}}{space 1}
{space 4}{space 0}{ralign 12:PrivSec}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2448}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1831}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1477}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5210}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0187}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1153}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1283}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2207}}}{space 1}
{space 4}{space 0}{ralign 12:PubSec}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2555}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1949}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0983}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1705}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3603}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0879}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1864}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3879}}}{space 1}
{space 4}{space 0}{ralign 12:PubCom}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0202}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0000}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1170}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6053}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2600}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2992}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5457}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2352}}}{space 1}
{space 4}{space 0}{ralign 12:NonProfit}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0067}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0055}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2663}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6292}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3124}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.6015}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1252}}}{space 1}
{space 4}{space 0}{ralign 12:inc_pct}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0078}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.2671}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0330}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0574}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0120}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5684}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2652}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1127}}}{space 1}
{space 4}{space 0}{ralign 12:busink}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0326}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0385}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4285}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2503}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1538}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0049}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0786}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0934}}}{space 1}
{space 4}{space 0}{ralign 12:OpFtgLedare}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0398}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0777}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5737}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1571}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0301}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0363}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0125}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0016}}}{space 1}
{space 4}{space 0}{ralign 12:BusPers}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0536}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0678}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5754}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1519}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1141}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0433}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0357}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0148}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp9}{space 1}{space 1}{ralign 8:Comp10}{space 1}{space 1}{ralign 8:Comp11}{space 1}{space 1}{ralign 8:Comp12}{space 1}{space 1}{ralign 8:Comp13}{space 1}{space 1}{ralign 8:Comp14}{space 1}{space 1}{ralign 8:Comp15}{space 1}{space 1}{ralign 8:Comp16}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:education}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6889}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.3272}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3746}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1408}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.1025}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0366}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0060}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0400}}}{space 1}
{space 4}{space 0}{ralign 12:sex}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3780}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1154}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.5996}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.3010}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0236}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0706}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0256}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0440}}}{space 1}
{space 4}{space 0}{ralign 12:ConcOther}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0726}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0196}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0364}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2404}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0705}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.4672}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0199}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2852}}}{space 1}
{space 4}{space 0}{ralign 12:AssCareOther}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0838}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0276}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0294}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2281}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1393}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0732}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0054}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0887}}}{space 1}
{space 4}{space 0}{ralign 12:NegConSolv}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1381}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0697}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0450}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.5316}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2653}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0565}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0456}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.2127}}}{space 1}
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{com}. screeplot , yline(1)
{res}{txt}
{com}. graph save screeplot, replace
{res}{txt}file {bf:screeplot.gph} saved

{com}. estat loadings

{txt}Principal component loadings (unrotated)
{col 5}component normalization: sum of squares(column) = 1

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{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{com}. estat kmo 

{txt}{p 0 0 2}Kaiser-Meyer-Olkin measure of sampling adequacy{p_end}

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{space 4}{hline 13}{c   +}{hline 9}
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{space 4}{hline 13}{c   +}{hline 9}
{space 4}{space 0}{ralign 12:Overall}{space 1}{c |}{space 1}{ralign 7:{res:{sf: 0.6667}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 9}

{com}. predict pc1 pc2 pc3 , score
{txt}(18 components skipped)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

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{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
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{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
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{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
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{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
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{space 4}{hline 13}{c   +}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}
{space 4}{space 0}{ralign 12:education}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0722}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0115}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0198}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0027}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0006}}}{space 1}
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{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{hline 10}{hline 10}{hline 10}

{com}. **Figure W7
. foreach ind in x y{c -(}
{txt}  2{com}.         foreach pc in pc1 pc2 pc3{c -(}
{txt}  3{com}.                 binscatter `ind' `pc', nq(100)
{txt}  4{com}.                 graph save `ind'_`pc', replace
{txt}  5{com}.         {c )-}
{txt}  6{com}. {c )-}
{res}{txt}file {bf:x_pc1.gph} saved
{res}{txt}file {bf:x_pc2.gph} saved
{res}{txt}file {bf:x_pc3.gph} saved
{res}{txt}file {bf:y_pc1.gph} saved
{res}{txt}file {bf:y_pc2.gph} saved
{res}{txt}file {bf:y_pc3.gph} saved

{com}.  graph combine y_pc1.gph x_pc1.gph y_pc2.gph x_pc2.gph y_pc3.gph x_pc3.gph, ///
>         ycommon  iscale(.5) row(3) col(2) ysize(20) xsize(20) scheme(s1mono)
{res}{txt}
{com}.  graph save W7, replace
{txt}{p 0 4 2}
(file {bf}
W7.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:W7.gph} saved

{com}.  log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}\\micro.intra\Projekt\P0624$\P0624_Gem\Kitschelt\submission\figures_main_pop.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Jan 2024, 06:34:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}